Drimva

Scale AI

Staff Solutions Architect, Enterprise

$212K–$265K

New York, NY +3 · Staff · Full-time · Posted Apr 28, 2026

Location
New York, NY
San Francisco, CA
New York, New York, United States
San Francisco, California, United States

About the job

Leads technical strategy for complex enterprise AI opportunities and builds reusable architectures, evaluation methods, and processes that guide customer deployments and Scale’s product direction.

What you'll do

  • Own technical qualification, solution strategy, and delivery feasibility for strategic enterprise deals; lead workshops and executive technical relationships.
  • Define evaluation methodologies and build reusable reference architectures, prototypes, and technical processes for the vertical.
  • Influence product and roadmap decisions, mentor Solutions Architects, and raise technical standards across the team.

What they ask for

  • Deep engineering background and substantial customer-facing technical experience at enterprise scale; hands-on proficiency in Python or equivalent language.
  • Track record owning technical outcomes on complex, multi-stakeholder deals with Fortune 500 or equivalent enterprises.
  • Production experience with Generative AI and LLM systems, including agentic systems; strong cloud, data, and AI/ML architecture knowledge.
  • Demonstrated evaluation-methodology expertise, executive technical advising, mentoring, and deep expertise in financial services, healthcare/life sciences, or consumer verticals.

Nice to have

  • External domain recognition, relevant compliance experience, or experience creating large-scale evaluation datasets.
  • Forward-deployed engineering or production ML background; experience building or scaling a solutions architecture practice.

Pay

$212,000 — $265,000 USD (base salary)

Tools

Python, Generative AI, LLM

AI focus

Leads enterprise AI solution strategy and production deployment, develops evaluation methods for AI quality, and informs AI product direction.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)